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001 9910346923703321
005 20231214133152.0
010   $a1000011806
035   $a(CKB)4920000000101285
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/56878
035   $a(EXLCZ)994920000000101285
100   $a20202102d2009      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPredicting software performance in symmetric multi-core and multiprocessor Environments
210   $cKIT Scientific Publishing$d2009
215   $a1 electronic resource (IV, 291 p. p.)
225 1 $aThe Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner
311   $a3-86644-381-1 
330   $aWith today's rise of multi-core processors, concurrency becomes a ubiquitous challenge in software development.Performance prediction methods have to reflect the influence of multiprocessing environments on software performance in order to help software architects to find potential performance problems during early development phases. In this thesis, we address the influence of the operating system scheduler on software performance in symmetric multiprocessing environments.
610   $aMultiprocessing System
610   $aOperating System Scheduler
610   $aPerformance Prediction
610   $aColoured Petri Nets
610   $aMulticore Processor
700   $aHappe$b Jens$4auth$01327785
906   $aBOOK
912   $a9910346923703321
996   $aPredicting software performance in symmetric multi-core and multiprocessor Environments$93038097
997   $aUNINA